Toward human-in-the-loop AI: enhancing deep reinforcement learning via real-time human guidance for autonomous driving

Toward human-in-the-loop AI: enhancing deep reinforcement learning via real-time human guidance for autonomous driving

Due to its limited intelligence and abilities, machine learning is currently unable to handle various situations thus cannot completely replace humans in real-world applications. Because humans exhibit robustness and adaptability in complex scenarios, it is crucial to introduce humans into the train...

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Bibliographic Details
Main Authors:	Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Lv, Chen
Other Authors:	School of Mechanical and Aerospace Engineering
Format:	Journal Article
Language:	English
Published:	2023
Subjects:	Engineering::Mechanical engineering Deep Reinforcement Learning Human Guidance
Online Access:	https://hdl.handle.net/10356/169074

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